and is now available for on demand viewing.
Disparate machine vision and imaging applications require different levels of processing power. For example, a deep learning application may require a powerful graphics processing unit (GPU), where an embedded vision application may only require a small System on Chip (SoC). In other words, various methods of image processing—including GPUs, CPUs, and FPGAs—have different value propositions, and they must be evaluated before choosing one over the other.
During a free webcast on August 14, Tom Brennan, President, Artemis Vision, will discuss these image processing options, and how they might typically be deployed in the real world. He will also discuss some of the available technologies and why each of them might be used for a particular application.
Watch on any mobile device – phone or tablet - or listen while you drive to work!